GEOMAR  Karriere & Campus  Campus  Studieren  MSc: Biological Oceanography  Summer semester 2024 - Examination schedule / Course List / Time tables

Summer semester 2024

General remarks

General lecture period summer semester 2024: 15.04.2024 to 12.07.2024 (with winter semester 2023/2024, 2nd exam period: 02.04. - 13.04.2024 (link CAU) - In accordance with the CAU's examination procedure regulations, there are no courses in bachelor's and master's degree programs during the examination periods (few exceptions for first semester students)).

More information at M. Sc. Biological Oceanography - information for students on OLAT.

Exam dates summer semester 2024: here (OLAT)

There is no general registration for courses - only for the exams at the end of the semester during registration phases (s.b.).

Notes on how to use the online tool can be found here:

If you have questions about the examination administration procedures in general (registration periods, examination periods, etc.) you may find answers in the Examination procedures section. If you are still unclear about anything you can contact the relevant Examination Office at any time.

Complete examination schedule SS 2024 (link to CAU).

Examinations:

Typical examination procedure:     

  1. Examination registration: You register for the examinations that you would like to take in the next examination period or that are assigned to the next examination period (s.b. Examination Organisation Online (CAU)). In case of registration problems contact the Examination Office Biology.

    During the registration period for the 1st examination period please register for all the written or oral examinations you would like to take in the 1st examination period (or around and assigned to the 1st examination period), but also for the examinations that you have already taken or started (e.g. seminar papers) during the lecture period (including before the registration period), as well as for examinations (e.g. assignments) that are to be taken during the lecture-free period.

    Note: For examinations taken before the registration period, examination attendance is considered as binding registration. You must also register for these examinations during the registration period, however, so that your academic achievements can be recorded in the system at a later stage.

  2. Checking admission: Two days before the start of the examination period, you check whether you have been granted admission to the examinations you have registered for.
  3. Examination attendance: You take the examinations during the examination period.
  4. Checking results: You check the results entered by the examiners.

Examination Organisation Online (CAU)

Access to the online tool in the CAU-Portal: http://www.uni-kiel.de/hisinone

The online tool has the following functions:

  • Registering for examinations / Cancelling registrations
  • Information on registered examinations (checking admissions. Information on examination dates, times and rooms)
  • Information on examination results
     

Notes on how to use the online tool can be found here:

You need your stu-ID to use the Studierenden-Online-Funktion online tool. Detailed information on the stu-ID and stu-e-mail address can be found at the Computing Centre StudiNet.

If you have questions about the examination administration procedures in general (registration periods, examination periods, etc.) you may find answers in the Examination procedures section. If you are still unclear about anything you can contact the Examination Office Biology at any time.

Registration period first exam phase summer semester: 03.06.2024 - 30.06.2024

First exam period summer semester: 15.07.2024 - 27.07.2024

Registration period second exam period summer semester: 26.08.2024 - 22.09.2024

Second exam period winter semester: 07.10.2024 - 19.10.2024 

Complete schedule see CAU website and here (link to CAU).

Keep in mind - it's your responsibility not to miss any fixed dates and/or deadlines.

Practical courses, practical exercises and some seminars have compulsory attendance (FPO).

Make sure that you sign the attendance list every course day!

Framework of courses:

  1. All of the five first semester modules are compulsory.
  2. Passed core modules of the first semester (MNF-bioc-101 and MNF-bioc-102) are important for the understanding for the advanced modules of the second semester in summer (e.g. MNF-bioc-201 and MNF-bioc-202).
  3. Passed exams of ALL compulsory modules of first and second semester are the  indispensable prerequisite for the exam of the core module of third semester in winter (MNF-bioc-301).
  4. A short presentation of your planned master's thesis ("proposal day") and a passed exam at the end of MNF-bioc-301 is the prerequisite to register your thesis (MNF-bioc-401) at the examination office.

For details concerning exams, prerequisites etc. look at the exam regulations in Biological Oceanography (p. 10-13).

Forms concerning exam withdrawal for good cause, medical certificate etc. (forms).

General regulations concerning examinations can be found here.

Considerations concerning using first or second exam phase (CAU).

Exams are generally scheduled only for the semester where the modules are taught.

  • There are no exams for winter semester modules MNF-bioc-1xx and MNF-bioc-3xx in summer semester.
  • There are no exams for summer semester modules MNF-bioc-2xx in winter semester.

Examination Schedule (lecturers and students tasks (link to CAU)

Timetables and course lists

General: Courses (lectures, seminars, practicals etc.) summer semester 2024

MSc. Biological Oceanography - second semester - lecture plan summer semester 2024 (click on "Stundenplan" for a complete time table).  All seven different possible practical parts in three blocks of MNF-bioc-202 are shown which looks heavily loaded - but you have to choose only two resp. three non overlapping parts.

Details: More detailed information concerning single courses and modules can be found on OLAT in general, resp. M. Sc. Biological Oceanography - information for students or via our module list, with links to the resp. module information on OLAT.

As you can take many optional modules outside of our curriculum (CAU-wide choices) these are not included in the example lists and timetables.

Block courses in summer 2024: 

  • MNF-bioc-264 (S. Garthe, Büsum): September/October 2024
  • MNF-bioc-271 (B. Schneider, Kiel): 21.05.2024 - 24.05.2024
  • MNF-bioc-280 (K. Heubel, FTZ): 26.08.2024 - 06.09.2024 at FTZ Büsum.
  • MNF-bioc-301 (F. Mittermayer, ALKOR cruise MNF-bioc-301): 18.08.2024 - 30.08.2024
  • MNF-bioc-368 (F. Weinberger, Aaland-Island (Finland) - Marine station Husö): 07.09.2024 - 22.09.2024

  • For optional modules within Biological Oceanography look at the module list.
  • Generally: for imported courses (e.g. Introduction to Physical Oceanography) and and courses outside of M. Sc. Biological Oceanography please always contact the person in charge of the module you are attending and the corresponding exam office.
  • For a selection of courses outside of our curriculum look here (optional courses outside of Biological Oceanography).

 

Summer semester 2024

UnivIS
Informationssystem der Universität Kiel © Config eG 
Semester: SS 2024 

infMPInS-01a: Master project - Intelligent Systems (infMPInS-01a) (080092)

Dozentinnen/Dozenten
Prof. Dr.-Ing. Sven Tomforde, Nils Bischoff, M.Sc.

Angaben
Übung, 4 SWS, ECTS-Studium, ECTS-Credits: 10
Praesenzveranstaltung, Unterrichtssprache Englisch, Kick-off meeting: 17. April 2024 um 14:15 Uhr in HRS 3, Raum 309b (Labor)
Zeit und Ort: n.V.
Vorbesprechung: 17.4.2024, 14:15 - 15:15 Uhr

Voraussetzungen / Organisatorisches
Abstract
An "intelligent system" is a computer system that is able to operate under difficult conditions (e.g., time-varying environments, emergent situations, or disturbances) by autonomously adapting its behavior to the changing conditions and learning on its own. We use the robot platform "TurtleBot3" as a basis for the development of intelligent systems in student projects.

Learning objectives
The participants should learn to work on a larger, coherent project from the field of intelligent systems in a limited amount of time. Emphasis is placed on independent project work and group work.
The overall goal of the course is to gain a basic understanding and experience of how intelligent systems are designed, developed and operated. In addition to the actual development of the software, the module aims to provide hands-on experience in a team of developers. Specific objectives are:
  • Specification and definition of the "product" using standard software engineering tools.
  • Setup of scientific experiments using standard data science libraries like NumPy, pandas, PyTorch, TensorFlow, Keras, ...
  • (Self-)organization in the team, management of the process, deadline monitoring
  • Entire software development process until delivery to the customer
  • Documentation of the product

Your supervisors continuously monitor the process in the role of a customer, i.e. you are expected to demonstrate progress on a regular basis.

Inhalt
Learning content
Summer term 2024: For the visual inspection of road signs, we have several sequences of images in which a sign is recognised and identified as the same sign across the sequences. This results in a selection of images of the same object, which will now be used to assess its condition. There are several potential approaches. One possibility is to develop a solution that automatically selects the best single image. This can then be analysed for damage or other deviations from the ideal state using an anomaly detection method. Another approach would be to fuse information from different images before anomaly detection. The project group will implement and evaluate strategies for data selection or fusion as well as compare methods for visual anomaly detection. The addition of your own ideas to the suggestions described here is explicitly encouraged. The goal of the project is therefore to develop a system that can analyse road signs for visual anomalies using a selection of images.

Other requirements
No mandatory prerequisites. However, previous knowledge in the field of "Intelligent Systems" is more than helpful, ideally acquired by attending the corresponding lectures. You should have good programming skills and not be afraid of working with real hardware.

Audit performances
Presentations, report, scientific paper and the realized software system (including documentation).

Contact
Interested students may contact the group (Nils Bischoff) for more details. You can also do this to "book a place" in the project already during the preceeeding term.

Zusätzliche Informationen
Erwartete Teilnehmerzahl: 6
UnivIS ist ein Produkt der Config eG, Röttenbach

  • PD Dr. Frank Melzner
    Curriculum Coordinator
    Hohenbergstrasse 2
    Room 13
    Phone: +49 (0)431 600-4274
    E-mail: fmelzner(at)geomar.de

    Dr. Jörg Süling
    Study Coordinator
    Hohenbergstr. 2
    Room 006
    Phone: +49 (0)431 600-4454 / -4508
    E-mail: jsueling(at)geomar.de
    Consultation Tuesday 2-3 pm and Thursday 8-9 am - currently via zoom

    Annegret Stuhr
    Room 323
    Phone: +49 431 600-4028
    Email: astuhr(at)geomar.de

  • OLAT is the central online learning platform of CAU. On OLAT you always find recent material for lectures, seminars etc. 

  • Exam registration: If you encounter exam registration problems please contact exam office biology (Office Examination Board (web)).

    Generally: for imported courses and courses outside of M. Sc. Biological Oceanography please always contact the person in charge of the module you are attending and the corresponding exam office.

    Campusmanagementsystem

    Students service

  • Chairman of Examination Board

    Prof. Dr. Thorsten Reusch
    GEOMAR
    Helmholtz Centre for Ocean Research Kiel
    Düsternbrooker Weg 20
    24105 Kiel
    Room: A 31
    Phone: +49 431 600-4550
    E-Mail: treusch(at)geomar.de

    Office Examination Board (web)

    Marianne Lange  Tel. 0431/880-3724 (Raum E 50)
    Ines Wetzel   Tel. 0431/880-4157 (Raum E 51)

    Prüfungsamt Biologie
    Biozentrum
    Am Botanischen Garten 7
    24118 Kiel
    FAX 0431/880-5704

    pruefungsamt(at)bio.uni-kiel.de

  • Next application period: March 1 to April 15, 2025!

    More information at "how to aply"